AndreaBozzo/ceres-open-data-index huggingface dataset:
Data and supplementary information for - Long term evolution of an escarpment in a tableland landscape (Serra Geral de Goiás, Brazil): insights from in situ-produced cosmogenic nuclides

[Lien vers la fiche source] These text and Excel files provide supplementary information for the paper entitled "Long term evolution of an escarpment in a tableland landscape (Serra Geral de Goiás, Brazil): insights from in situ-produced cosmogenic nuclides". The objective of this dataset is to present all the analytical results that support all the conclusions included in this paper. Among the diversity of geomorphic systems, topographic escarpments are salient relief features besides mountain belts. This study presents a new dataset focused on the Serra Geral Escarpment in Goiás State, one of the most significant and longest geomorphic features in Central Brazil. Using in situ-produced cosmogenic nuclides (10Be, 26Al, and 36Cl) concentrations measured in river-borne sediments and bedrock samples, it reveals distinct denudation rates for the main geomorphic compartments of the Serra Geral region. The Western Bahia Plateau exhibits a denudation rate of 3±2 to 9±1 m Myr-1, the Paranã Gap, along the toe of the escarpment, exhibits a rate of 25±1 m Myr-1, and the escarpment shows a rate of 144±40 m Myr-1. The isotopic dataset suggests a complex cosmogenic 26Al/10Be signature, potentially resulting from deep-seated mass wasting in the central section of the escarpment, cave ceiling collapses in the Vão do Paranã, as well as vertical mixing within the thick regolith covering the sandstones capping the Western Bahia Plateau. Preliminary constraints indicate a minimum differential denudation of the relief around 14-24 m Myr-1, an escarpment horizontal retreat rate of 119±21 m Myr-1, and an initiation of pediplanation, resulting to the Patamares at the base of the escarpment during the Upper-Middle Miocene, approximately 8 to 18 million years ago. These findings contribute to a better understanding of the geomorphic evolution of topographic escarpment in tablelands and cuesta landscapes. They also raise questions about the impact of karst formations, landslides, and regolith cover on the cosmogenic signal in low denudation settings such as Central Brazil. Contents * S1 – Excel file containing 5 spreadsheets with tables * S1.1 – Geomorphic characteristics of the watersheds and localization of the samples * S1.2 - Results of Accelerator Mass Spectrometry for in situ Be-10 and Al-26 (ASTER, LN2C, Aix-en-Provence, France) * S1.3 - In situ production parameters, [Be-10] derived denudation rates and integration times, [Al-26] derived denudation rates * S1.4 - Chemical analyses for 36Cl measurement (LF13) * S1.5 - Chlorine-36 exposure age and erosion rate determination (after Schimmelpfennig et al. 2018) * S2 – Text file dealing with supplementary information related to using cosmogenic nuclides (in situ-produced 10Be, 26Al and 36Cl)
Dataset of organic fertilisers' characteristics - French data

[Lien vers la fiche source] Collection of cured data on nutrients (N, P, K, C), trace elements (Cu, Zn, etc) and agronomic indicators (KeqN, ISMO) associated with French organic fertilisers, as described and modelled during the ACV-MAFOR project (Avadí 2020). Data representative of France, and to a lesser extent Europe, during the last 10 years.
PRETORIA lexicon

[Lien vers la fiche source] The Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture (LEAP4FNSSA) is a Coordination and Support Action (CSA). The main objective of the project is to provide a tool for European and African institutions to engage in a Sustainable Partnership Platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). Work Package 3 (WP3) of the project aims to provide the core information system for the partnership platform. In this context, the PRETORIA lexicon is proposed and integrated into the KEOPS software. The PRETORIA lexicon based on 8 concepts dealing with the food security domain is the result of a brainstorming organised in the context of a workshop organised in Pretoria.
Zoneamento participativo da agricultura familiar em um contexto de expansão do agronegócio com representantes comunitários do Planalto Santareno

[Lien vers la fiche source] O Planalto Santareno inclui parte dos municípios de Santarém, Belterra e Mojuí dos Campos e se configura em uma fronteira recente de expansão de monoculturas na Amazônia Brasileira. Esta expansão está associada com a instalação de um conjunto de infraestruturas para exportação de grãos, como portos, rodovias e ferrovias. Como consequências deste processo, são observadas o aumento da conversão de áreas florestais (desmatamento), aumento da pressão pela venda de terras, conflitos relacionados ao uso de agrotóxicos e ao uso de recursos naturais, como o acesso a água e áreas de extrativismo. Dentro deste contexto, foi realizado pelo projeto Odyssea - Observatory of the Dinamics of Societies and Environments in the Amazon, um Zoneamento Participativo da Agricultura Familiar no Planalto Santareno junto aos Sindicatos de Agricultoras, Agricultores e Trabalhadores rurais (STTRs). O objetivo do zoneamento foi identificar grupos de comunidades com características em comum, em termos produtivos, territoriais e de trajetórias frente ao processo de expansão do agronegócio. Esse dados shapefile apresentam o zoneamento que foi realizado a partir de um processo participativo amplo, que envolveu dinâmicas de reconhecimento do território e caracterização das zonas através das falas dos agricultores e lideranças locais. O resultado é a subdivisão do Planalto Santareno, mais especificamente da área central de expansão da monocultura, em zonas de agricultura familiar com diferentes níveis de impacto e resiliência em relação a este processo. Estas zonas foram validadas e utilizadas para o planejamento e execução de etapas subsequentes do projeto, como o mapeamento das zonas e aplicação de questionários a nível de famílias e de comunidades. Entre os temas tratados nos questionários e que caracterizam as zonas, estão os eixos apontados pelas lideranças como de interesse prioritário da agricultura familiar na região; aspectos fundiários, contaminação por agrotóxicos e produção agroecológica. Outros temas incluem a estimativa da produção e práticas agrícolas, perspectivas das famílias, mudanças climáticas e impactos do agronegócio sobre a agricultura familiar.
KEOPS - LEAP4FNSSA - Classification

[Lien vers la fiche source] The Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture (LEAP4FNSSA) is a Coordination and Support Action (CSA). The main objective of the project is to provide a tool for European and African institutions to engage in a Sustainable Partnership Platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). Work Package 3 (WP3) of the project aims to provide the core information system for the partnership platform. These data are the results of three virtual workshop sessions organized on 23rd and 24th of November 2020 (1st and 2nd sessions), and 9th of December 2020 (3rd session). Topic of data: Evaluation of the classes, i‧e. themes of a document Data description: (1) 15 texts (i‧e. abstracts) evaluated according 4 topics (production, processing, distribution, consumption) + 2 classes ‘other’ and ‘I don’t know’, (2) 10 contributions (WP3 members).
KEOPS - LEAP4FNSSA - Indexing

[Lien vers la fiche source] The Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture (LEAP4FNSSA) is a Coordination and Support Action (CSA). The main objective of the project is to provide a tool for European and African institutions to engage in a Sustainable Partnership Platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). Work Package 3 (WP3) of the project aims to provide the core information system for the partnership platform. These data are the results of three virtual workshop sessions organized on 23rd and 24th of November 2020 (1st and 2nd sessions), and 9th of December 2020 (3rd session). Topic of data: Evaluation of indexing, i‧e. evaluation of terms and Named Entities Data description: (1) Terms and Named Entities extracted with tools (BioTex and spaCy) integrated in KEOPS, (2) 10 contributions (WP3 members).
HYDROTHIEM observatory (eastern tropical coast of New Caledonia, South West Pacific): water resource observation data, 2018-2021

[Lien vers la fiche source] HydroThiem observatory, located in the humid eastern coast of New Caledonia is devoted the study of impact of invasive ungulate species and bushfires on the amount of water resource, erosion and water quality in a catchment used for drinking water. Data from this observatory can be used as a comparison with other catchments submitted to different or similar disturbances
Water level in the Aghien lagoon and in the rivers linked to the lagoon (2015-)

[Lien vers la fiche source] To face the difficulties involved in supplying freshwater to Abidjan (Côte d'Ivoire), the Aghien Lagoon is a potential resource for production of drinking water. A hydro-meteorological network was installed with the objective of assessing the sustainability of the lagoon in terms of both quantity and quality. Each water level station is equipped with a piezometric probe associated to a HYDREKA standalone data recorder with a communication capability (Octopus LX). A manually read staff gauge is used to control the water level determined by the pressure probe. Data are collected monthly.
Data for "Intercrop overyielding is maintained under estimated water and nitrogen stress in maize-cowpea on-farm trials in semi-arid Zimbabwe"

[Lien vers la fiche source] These are the raw data of the paper "Intercrop overyielding is maintained under estimated water and nitrogen stress in maize-cowpea on-farm trials in semi-arid Zimbabwe” authored by Illiana W. Kwenda, Gatien N. Falconnier, Rémi Cardinael, François Affholder, Antoine Couëdel, Frederic Baudron, Angelinus C. Franke, Isaiah Nyagumbo, Stanford Mabasa, Mathilde de Freitas, Valentin Pret, Souleymane Diop, Eleanor F. Magwaza, Regis Chikowo
Trace Metal content of superficial sediments in mangrove mudflats of Coastal Gabon (2021-2023)

[Lien vers la fiche source] Here are the full data set regarding sediment contamination by trace metals and fecal indicator bacteria in superficial sediments of estuarine and mangrove mudflats in the coastal zone around Libreville, Gabon. These data were collected during the Doctoral work of Johann L.M. Happi, recipient of an IRD thesis stipend via the ARTS program.
NIR Hyperspectral imaging for Hardness of Gari/Eba (cooked dough), at IITA, Ibadan, Nigeria

[Lien vers la fiche source] The near-infrared hyperspectral images of freshly prepared Gari_Eba produced from 23 cassava genotypes were acquired using the SPECIM FX 17 Camera. Gari_Eba dough was homogenized and placed on the translation stage for a line scan image capture. The hyperspectral image was captured in the 900 to 1700 nm wavelength range and has a spectral resolution of 8 nm. Reflectance calibration and image segmentation were carried out using the Breeze Software (version 2024.0.1) to extract the average spectra from each image. An attempt to predict the textural attributes of Gari_Eba was performed by combining the samples’ average spectra with the reference texture values. NIR hyperspectral imaging demonstrated a promising prediction performance for the hardness of Eba but could not accurately predict other textural attributes of Eba. Further attempts will be made by extracting the effective wavelengths from the average raw spectra to improve the model's accuracy by removing the redundant information. The coefficient of determination in calibration for hardness was 0.90 and prediction performance of 0.76 respectively.
Improved NIRS Calibration for Hardness, Resilience, Cohesiveness, Springiness and Adhesiveness of Gari/Eba (cooked dough), at IITA, Ibadan, Nigeria.

[Lien vers la fiche source] The near-infrared reflectance spectra of Gari_Eba produced from 23 cassava genotypes were collected using the XDS-Rapid Content Analyzer. Gari_Eba dough was homogenized and filled into the equipment's ring cell sample holder. NIR spectra were collected in duplicate for each sample in the 400 to 2485 nm wavelength range. Before NIRS analysis, the instrumental texture profile of each sample was determined using the TA.XT texturometer and the same sample lots were used for the NIRS measurements. Reference data for hardness, cohesiveness, resilience, adhesiveness and springiness were obtained and combined with the NIRS spectra to develop prediction models for the textural attributes. Improved prediction models for the textural qualities of Eba were obtained by pooling the dataset from 2022 and 2023. The coefficient of determination and prediction ( R2cal and R2pred) for hardness, resilience, adhesiveness and cohesiveness were ( 0.83 and 0.65), (0.73 and 0.69), (0.71 and 0.23), (0.79 and 0.43) and (0.77 and 0.50) respectively.
Quantitative descriptive analysis and instrumental textural data, for Gari/Eba, at IITA, Nigeria.

[Lien vers la fiche source] Gari is a significant, versatile, granular, and convenient product from cassava roots in the West Africa sub-region. The granular product is popular in West African countries due to its long shelf life and ease of preparation. It can be consumed by soaking in water or turned into Eba, produced by briefly cooking and stirring gari in hot water until homogenous dough is formed. The acceptability of Eba by consumers has been reported to be driven by sensory attributes such as appearance, colour, taste, aroma, and other textural parameters such as smoothness, mouldability, hardness, and stretchability. It is essential to establish the relationship between instrumental and quantitative descriptive sensory scores to present instrumental measurement as a mid-throughput and less costly alternative to the sensory approach, which is subjective. Previous studies have established correlations between the sensory and instrumental measurements for sensory textural attributes of Eba, with a low to medium correlation coefficient. In the current study, the instrumental hardness correlated significantly (p<0.001) and positively with sensory hardness (r= 0.8329) and mouldability (r= 0.8085) but negatively with sensory stickiness (r= -0.7355). Sensory stickiness correlated positively and significantly (p<0.001) with instrumental springiness (r= 0.6753) and cohesiveness but negatively with instrumental gumminess (r= -0.5470). The linear regression coefficients have been substantially improved using a new set of cassava genotypes.
Instrumental Textural data by TPA, Instrumental colour data, and QDA data for Matooke cooked using different methods, at NARL: Kampala, Uganda.

[Lien vers la fiche source] Instrumental Textural data by TPA, Instrumental colour data, and QDA data was collected from three cooking banana (Matooke) varieties of contrasting characteristics (Kibuzi, M9 and Narita 24) harvested at maturity based on the fullness of the fingers. Six cooking methods were used to prepare the matooke. These are; conventional steaming method, boiling, steaming source pans, electric steaming, pressure cooking electric, pressure-cooking gas
NIRS Calibration for hardness, cohesiveness as textural properties of Fufu dough at NRCRI, Umidike, Nigeria.

[Lien vers la fiche source] The textural properties of fufu dough samples were evaluated for potential good calibration and prediction equation models using handheld NIRS equipment. Seventy (70) cassava genotypes from Umudike and Otobi locations from Crossing block and Advanced Yield Trials (AYT) of NextGen were assessed for textural properties. Near-infrared spectra models were developed in “Win ISI 4 Project Manager”, by using the modified partial least squares (MPLS) regression and cross-validation techniques. Calibrations were done and the coefficient of determination in calibration for textural properties (R²cal) was 0.52 for hardness, while the coefficient of determination in calibration for textural properties (R²cal) was 0.54 for cohesiveness. Also, the coefficient of determination in prediction (R2pred) was 0.52 with SEP of 2.46 and RPD of 2.6.
Dataset on the parameters studied from promising yam genotypes in Benin

[Lien vers la fiche source] Boiled yam quality traits mainly includes white color, sweet taste and the crumbly texture. The latter, as a key trait for boiled yam acceptance, is highly variety dependent. The study aimed at classifying yam genotypes regarding their crumbliness for boiled yam. Ten (10) landraces and 23 hybrids were used among them nine were harvested in two zones (Bassila, Dassa, Djougou Massi). Consequently, 42 samples were considered for this study. Textural analysis as well as dry matter content were carried out. In addition, some of the genotypes (nine) were subjected to quantitative descriptive analysis (QDA). The textural parameters, the dry matter content of yam and the sensory crumbliness of boiled yam enable discriminating the genotypes (p-value <0.0001). Using predicted crumbliness based on textural parameter LDPeak/APeak and the sensory thresholds of boiled yam, yam genotypes were classified in good (9 genotypes), medium (13 genotypes) and bad (20 genotypes) quality clusters for boiling. This classification was used to identify yam genotypes which are promising (good and medium). However, further investigations have to be done for a better understanding of the crumbliness of boiled yam which is not yet well mastered since only 36% of sensory crumbliness was explained by the predicted crumbliness.
Sensory and instrumental acceptance thresholds of pounded yam stretchability/extensibility by UAC-FSA, Bénin

[Lien vers la fiche source] A main quality attribute of pounded yam is its extensibility/stretchability, with yams exhibiting high values being preferred by consumers. This study assessed the sensory and instrumental acceptance thresholds of stretchability through consumer testing, quantitative descriptive analysis (QDA), Kieffer dough extensibility and dynamic rheology analyses performed on twenty varieties in two experiments. Significant differences were evidenced among yam varieties for all studied parameters. Furthermore, stretchability was predicted by instrumental extensibility by Kieffer dough method (R2 = 0.61) or G’-G” crossover (R2 = 0.77). A high stretchability is preferred by consumers, with the desirable sensory score above 8.01, on a 10 cm unstructured line scale, corresponding to biophysical targets values above 3.38 mm for kieffer dough extensibility (distance while stretching using texturometer) and below 1.52 kPa for G’-G” crossover (using rheometer). Thus, Kieffer dough textural or dynamic rheology analyses are practically relevant in understanding the extensibility of pounded yam, and can be carried out to screen the various yam genotypes and determine textural thresholds for pounded yam extensibility.
Dataset for crumbliness of boiled yam through textural and dynamic rheology measurements in Benin

[Lien vers la fiche source] Crumbly texture is a key attribute of boiled yam and it depends on yam variety. Previous studies revealed the link between boiled yam crumbliness and the hardness from penetration test (DOI 10.1002/jsfa.12589). Despite this strong relationship, the hardness expressed by the texturometer may not capture/reflect the crumbliness. In this respect, other new parameters were extracted from the texture profiles and subjected to further analyses. In addition, a dynamic rheology analysis was carried out in order to identify the relevant parameters capable of representing or correlating with the crumbliness of boiled yams.
Dataset for establishing priority quality traits thresholds through correlation between instrumental measurements and sensory panel data at University of Dschang, Cameroon

[Lien vers la fiche source] The work that led to the production of this report was supported by the RTB Breeding project, through a sub-grant from the International Potato Center (CIP) to the French Agricultural Research Centre for International Development (CIRAD), Montpellier, France. The dataset aimed at establishing priority quality traits thresholds through correlation between instrumental measurements and sensory panel data at University of Dschang, Cameroon
NIRS calibration for yam mouldability at Cirad UMR Agap Institut, France

[Lien vers la fiche source] The quality of pounded yam is a key criterion for the adoption of new varieties by both producers and consumers. Its assessment appears to be multifactorial. To date, no single compositional trait—such as amylose content, pectins, or dry matter—can reliably predict this quality. These traits are, in many cases, necessary but not sufficient. The objective of this study is therefore to predict the mouldability of yam varieties—i.e., their ability to form a cohesive dough rather than a purée—directly from near-infrared (NIR) spectra acquired on yam flour.
Dataset for assessing cassava cooking quality using NIR hyperspectral imaging at CIAT, Cali, Colombia

[Lien vers la fiche source] This database contains 2175 NIR spectra extracted from hyperspectral images of fresh cassava root slices from different genotypes, acquired at CIAT (Cali, Colombia) using a Specim FX17 hyperspectral camera. The database also includes WAB laboratory data measured on the same cassava root samples. Water absorption (WAB, %) measurements were performed by weighing the fresh roots before and after cooking for 30 minutes, and the WAB parameter (%) was calculated as described in the SOP: [https://doi.org/10.18167/agritrop/00683].
Service Plant Survey across vineyards of the South of France in 2016

[Lien vers la fiche source] We conducted a survey across vineyards of the Languedoc Roussillon region (south of France) in 2016. The survey aimed to better understand the generic management strategies of service crops (cover crops, inter crops and spontaneous vegetation) in vineyards during the previous grapevine season, id est., starting in fall 2014 and harvested in fall 2015. The survey was diffused to around 3000 winegrowers by email through public and private extension services of the region in agronomy and viticulture (Chambres d’Agriculture, Biocivam, Sudvinbio, etc.), targeting as much winegrowers as possible without seeking a specific profile. Organisms of organic viticulture consulting in the region, Sudvinbio and CIVAM Languedoc Roussillon, which have a particular interest on understanding service crop strategies, helped to elaborate the questionnaire. The questionnaire (in French), was composed of 101 questions with semi-open and multiple-choice answers divided in five blocks: (i) vineyard features (size, labels, irrigation, soil features); (ii) generic soil management practices (tillage, mowing, herbicide use); (iii) the most common service crop management strategy at the vineyard scale as defined by the spatial design and its duration, plus the use of sown crops or spontaneous vegetation; (iv) their objectives (service targeted and disservices avoided) and constrains to the adoption of service crops; (v) the compost management practices. We gathered 334 winegrower answers, being this sample representative of the region. In the available files you will find : 1) the questionnaire in French; 2) all the answers with codes explained in French; 3) a selection of key variables involved in service plant strategies in English.